Nikki Fox - BBC News & Watchdog Presenter
Disability Correspondent for @bbcnews | Watchdog on @bbctheoneshow | Host of @bbcaccessall | Represented by @ymugroup | Enquiries - [email protected]
13,192
Followers
1,934
Following
6,866
Tweets
141.2
Avg Engagement
109
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @FoxNikkiFox's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.
Account Classification
- Account Size: Mid-Tier (10K+)
- Account Age:2011-11-20
- Verification:No
- Location:London
Data Summary
- Tweets Analyzed:3,233
- Avg Likes per Tweet:5.2
- Avg Retweets per Tweet:136.1
- Followers Analyzed:12,877
Engagement Analysis
Based on 3,233 tweetsTheir tweets typically receive a high number of likes and retweets, indicating a responsive and engaged audience. They often call on followers to retweet for wider reach.
5.2
Avg Likes/Tweet
136.1
Avg Retweets/Tweet
16,656
Total Likes
439,883
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
2
Median Retweets
11
75th Percentile
118,208
Top Tweet
10.7
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
13.1%
Original
37.8%
Replies
44.1%
Retweets
5.0%
Quotes
0.0%
Threads
1.0%
With Media
52.0%
With Links
24.2%
With #Tags
94.0%
With @Mentions
17.3%
With Emojis
157
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.9
Reply/Original Ratio
0.11
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
81.9%
Weekday Posts
18.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,233 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 1,425 retweets (44% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.
Posting Patterns & Optimal Timing
Based on 3,233 tweetsEngagement by Hour (UTC)
Posting Frequency Over Time
Timing Insights
Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.
Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.
Audience Demographics
Based on 12,877 followersTheir audience includes individuals with disabilities, advocates, and those interested in media representation. They also engage with parents and caregivers through their content.
Good
Audience Quality
17.0%
Suspicion Index
13.2%
Low-Quality %
333
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
21.9%
Empty Bio
7.7%
<10 Tweets
32.2%
Mass Following (>2K)
0.0%
New (<90 days)
22.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
65.1%
No URL
4.5%
<3 Tweets
Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
64,229,734
Total Potential Reach
333
Median Follower Reach
1,225
75th Percentile Reach
28.6%
>1K followers
4.8%
>10K followers
1.1%
>50K followers
0.6%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
81.3%
Creators
10,463 accounts
11.1%
Consumers
1,423 accounts
7.7%
Dormant
991 accounts
Follower Influence Distribution
How many followers do their followers have?
Follower Account Age
How long have followers been on Twitter?
Geographic Distribution
Top locations where followers are based (from those who share location data):
639
Verified Followers
4.96% of total
1,163
Protected Accounts
9.03% of total
10 years
Avg Account Age
of their followers
Notable Followers (By Influence)
Top accounts following this user, sorted by their follower count:
| Username | Followers | Profession | Interests |
|---|---|---|---|
| @JohnCena | 14,108,430 | Wrestler | Wrestling, Motivation, Self-promotion |
| @RealDMitchell | 2,384,046 | Actor | comedy, acting, television |
| @David_Ornstein | 1,881,430 | Football Correspondent | - |
| @therealgokwan | 1,493,895 | Stylist | Fashion, Food, Music |
| @SinghLions | 1,336,105 | Restaurateur | Food, Travel, Influencer |
| @susannareid100 | 906,176 | Presenter | News, TV, Charity |
| @theJeremyVine | 788,911 | Broadcaster | radio, eggheads, poetry |
| @msm4rsh | 758,866 | Actress | Acting, Singing, Family |
| @bbcthree | 743,327 | Media | TV, entertainment, humor |
| @gdavies | 678,664 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
10,057
Followers With Bio
2,820
Followers Without Bio
78.1%
% With Bio
21.9%
% Without Bio
Why Audience Demographics Matter
Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.
Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.
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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,233 analyzed294,865
Combined Engagement
0
Total Likes
294,865
Total Retweets
58,973
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @_Red_Long: I’m a blind twitter user. There are a lot of us out there. Increase your ability to reach us and help us interact with your pictures, it’s really simple and makes a huge difference to our twitter experiance allowing us to see your images our way. Thanks for the des
RT @brittlestar: This just instantly made today better... https://t.co/mAnwSqgA5n
RT @OwainWynEvans: When they said try working from home I didn’t realise they’d expect me to do the music too @BBCNews @BBCNWT #BBCNewsTheme 🥁 #workingfromhome https://t.co/DVXjDw0l8F
RT @MartinSLewis: I've put £1million in a fund to provide grants of £5k - £20k to small UK charities who are doing/want to do immediate Coronavirus poverty relief. Please share to let any charities who may want to apply know. Full info: https://t.co/Iipgw1MVzv
RT @ColinGPaterson: Only 4 British Sign Language interpreters in the UK are specialists in Grime. Tara Asher signed Stormzy’s Glasto set for deaf festival goers. She rehearsed each song for a day. This is joyous. She LOVES her job. Have a watch please. @BritishSignBSL @deafzone
Key Insights & Takeaways
They actively seek input from their audience on disability-related issues, showing a commitment to listener engagement. They use their platform to highlight personal experiences and challenges faced by disabled individuals. They frequently collaborate with BBC shows, indicating a strong professional network and media presence.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 13,192
- + High community engagement through conversations
- + Active presence with consistent posting
Opportunities
- ~ Optimize posting times for peak engagement windows
- ~ Analyze top-performing content for replicable patterns
- ~ Leverage geographic concentration for targeted content
- ~ Explore collaboration potential with followed accounts
Summary
This analysis of @FoxNikkiFox reveals an well-established Twitter presence with 13,192 followers. The account demonstrates a conversation-first approach, averaging 141.2 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.
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